The University of Gothenburg tackles society's challenges with diverse knowledge. 37 000 students and 6 000 employees make the university a large and inspiring place to work and study. Strong research and attractive study programmes attract scientists and students from around the world. With new knowledge and new perspectives, the University contributes to a better future.

The Centre for Linguistic Theory and Studies in Probability (CLASP) is based in FLoV at the University of Gothenburg, and is funded by a 10 year grant from the Swedish Research Council (2015-2025). CLASP is devoted to research and advanced training in the application of probabilistic modelling and machine learning methods to core issues in linguistic theory and cognition. It also addresses topics in dialogue and linguistic interaction. For a description of CLASP see http://flov.gu.se/clasp

Job assignments

The successful candidate is expected to devote her or his time primarily to the completion of obligatory course work and to write a doctoral dissertation. He or she may, however, also undertake a limited amount of teaching, administration or research not directly connected to her or his dissertation topic. Such duties extend the position accordingly. As the position is funded in part by a research grant from the Swedish Research Council the successful candidate should write her or his doctoral thesis within one of the CLASP's core areas and the research should fit in within the research programme of the centre. The doctoral student is also expected to participate in the department's activities, such as workshops, seminars and conferences.

Eligibility

The general entry requirements for third-cycle (doctoral) programmes are: a second-cycle qualification/degree and at least 240 higher education (HE) credits for courses of which at least 60 HE credits are awarded in the second-cycle; or equivalent training either in Sweden or abroad.

In addition, admission to the third-cycle programme in Computational Linguistics at the University of Gothenburg also requires:

a. At least 30 credits from second-cycle courses in Computational Linguistics, Language Technology, or Natural Language Processing, including a thesis of at least 15 credits, or equivalent qualifications, or

b. At least 30 credits from second-cycle courses in Linguistics or Cognitive Science, including a thesis of at least 15 credits, plus at least 30 credits from first-level courses in Language Technology, Computational Linguistics, Natural Language Processing, or Computer Science, or equivalent qualifications, or

The necessary English skills that are needed in order to be able to benefit from compulsory parts of the course and to be able to actively participate in seminars and similar activities, are also required.

Following the Higher Education Ordinance Ch.7, applicants will be assessed based on their estimated ability to benefit from the study programme and on the Department's resources to supervise them. To facilitate the selection process, applicants must submit:

theses and degree projects

a project draft discribing the applicant's desired focus of research as well as which theories, methods and material they are planning to use.

Admissions and selections are conditional on the Department's resources to supervise within the doctoral student's focus of research as well as the compatibility of the candidate's project proposal with CLASP's areas of research. In addition to the assessment of the submitted application the process may also include interviews. For a more detailed account of the selection process please refer to the study syllabus above.